With this work, we focus on two disparate predictive control methods: empirical orthogonal functions[1]} (EOF), as a method that depends
purely on data to find linear relationships through time and space, and predictive
Fourier control[2]} (PFC) , which uses data to identify wind layers in a system and inform a
prediction with those layers. As two solutions to the same problem, the performance of EOF and PFC have
yet to be directly compared. With this paper we will study their performance over simulated
atmospheric data and saved on-sky telemetry from the W.M. Keck Observatory.
